https://async.elixirconf.com/mcp ↗
ElixirConf's community site: conference schedules and a member's starred talks, over MCP.
async.elixirconf is a remote MCP server published at async.elixirconf.com. It has been probed 6 times since 9/12/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 1,280 ms, a delay an agent will notice. It offers a narrow, focused set of 2 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
about_async — Description doesn't specify when to use it beyond general 'read before integrating'how_to_connect — No explicit parameters or input schema details for token setup/scopesRisk: low
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
about_asyncWhat async.elixirconf is and what an agent can do with a member's token. Read this before recommending or integrating.
how_to_connectHow to connect an agent to a member's account: the authenticated endpoint, token setup, scopes, and the tool list.
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/com-elixirconf-async)<a href="https://mcpmetrics.io/servers/com-elixirconf-async"><img src="https://mcpmetrics.io/badge/com.elixirconf/async/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
**AI-readiness audit for any public website** — ecommerce, content, SaaS, docs, marketing sites. Built for the era where AI assistants (ChatGPT, Perplexity, Claude, Google AI Overviews) decide who gets cited. When a shopper asks ChatGPT *"what's the most comfortable lightweight summer shoe?"* — does **Crocs** show up? When someone asks Perplexity *"best running shoes for marathon training"* — is **Academy Sports** in the answer? When a buyer asks Claude *"where should I buy an engagement ring online?"* — does **Signet** appear with a citation? The answer depends on whether your site has the metadata, structured data, and AI-crawler signals that LLM-powered search engines actually parse. Most sites were built for human SEO (Google blue links). They've never been audited for **AI citation readiness**. Multipliers Site Auditor changes that. Point it at any public URL and in ~20 seconds you get a **comprehensive, evidence-backed report**: - A **0–100 AI-readiness score** with a transpa
Design your site's AI avatar in the ASMI studio; your coding agent ships it into your repo.
Public record of one read only walk over the official MCP registry: who answered, tools, who pays.
Community preview of HuaweiCloud DevKit MCP server (official: io.github.huaweicloud)
Rule-based site audits: accessibility, SEO, security headers, performance. Metered per call.
Read-only Site Rep handoff: agent brief, pending work, first-customer receipt with payment evidence.
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 01:33:33 | Legacy | 200 | 1203 | 200 | 1203 | 2025-06-18 |
| 2026-09-12 23:31:36 | Legacy | 200 | 1280 | 200 | 1281 | 2025-06-18 |
| 2026-09-12 21:29:15 | Legacy | 200 | 1300 | 200 | 1280 | 2025-06-18 |
| 2026-09-12 19:27:29 | Legacy | 200 | 1467 | 200 | 1466 | 2025-06-18 |
| 2026-09-12 17:24:09 | Legacy | 200 | 875 | 200 | 842 | 2025-06-18 |
| 2026-09-12 15:21:42 | Legacy | 200 | 1271 | 200 | 1007 | 2025-06-18 |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
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